Data Analytics Visualization
You know that data analytics is an essential part of decision-making and action-taking. But that’s only when you can translate and transform these numbers into real insights that clients and executives can understand.
Data that’s captured, collated, and displayed by your analytics reporting should paint a detailed picture with critical takeaways and factual conclusions.
If you aren’t able to quickly create an understandable visual of the data you’re collecting, you’re losing valuable insights and business intelligence.
Right now, the tools out there for visual analytics can be difficult to use — or they simply can’t cover tricky, niche areas like energy efficiency or abstract engineering concepts.
Boost Labs can change all that.
We’re pros at taking data, making it sing and dance, and molding raw, aggregate data sets into compelling, persuasive, and informative visualizations.
With Boost Labs on your side, you can communicate and connect complicated ideas with stakeholders who need and want transparency and context.
Telling Your Data’s Visual Story
Data is flexible, moldable, and malleable — but only if you can shape and rearrange these puzzle pieces into a cohesive picture of the whole.
Enter: Data analytics visualization for businesses.
In its simplest form, visualizations for data analytics use graphs, charts, maps, icons, graphics, and other visual elements to convey meaningful intelligence for the end audience.
That’s just one part of what data analytics visualizations can help you accomplish. In addition to clear storytelling, data visualization allows you to:
- Gain clarity through using all kinds of information — Visually break down repetitive, non-numeric information such as how a customer moves through a shop floor or gain insights into the execution of specific business processes. Doing so allows you to refine these customer journeys, improve efficiencies in business processes, and more. Visualizations are often the fastest, easiest ways to help you find these gaps or opportunities.
- Work through large data sets (also known as Big Data) — Compile complex, terabytes-worth of data — such as every metric tracked during airport takeoffs and landings — and easily identify patterns and anomalies in what would otherwise be an overwhelming mass of never-ending, real-time data.
- Find patterns in omni-channel interactions — Your stakeholders communicate and interact across channels, from clicks on mobile devices to targeted direct mail campaigns, or even demonstrating their confidence in your business through investments. Capture relevant information and pick out the patterns across these interactions using data visualization services.
The ability to create smart data visualizations that tell a clear story to your stakeholders is no longer a skill that’s nice to have. It’s a better way to help others make sense of the work you do — and to show how it matters.
Visual Analytics For The Modern Business
Visual analytics can answer questions that, without data, you might not even know to ask. That’s why information visualization is essential.
For modern businesses to truly harness the intelligence of data, they need to employ best practices for visual analytics.
1. Choose the Right Chart Types
Data can be displayed in a variety of innovative and aesthetically pleasing ways. But that’s not the point.
Exceptional data visualizations communicate messages that are relevant and meaningful to the audience. The right chart types are not a choice between bar graphs versus pie charts.
Rather, it’s a matter of choosing the kind of chart that best captures the data analysis:
- Trends over time — This is used to track data and spot changes over time
- Comparison and ranking — Great for setting up and defining a hierarchy between otherwise different data points.
- Correlation — When you need to suggest (or explicitly highlight) a relationship, you can use any type of chart that indicates a relationship between two variables.
- Distribution — Use distribution when you need to show how your data values are spread across their full quantitative range.
- Part to Whole — Part to Whole allows businesses to contextualize their data against the larger picture.
- Geographical — This is a no-brainer, allowing you to show the density of data across a map or location.
2. Emphasize the Most Relevant Data
At this point, many businesses feel overwhelmed because data visualization requires deep expertise to understand which metrics to pull, where to draw clear lines of correlation, and how to track changes over time.
Many businesses concentrate on the presentation and form of data visualization. But the content and insights displayed by these visualizations are much more significant.
3. Design Interactive Dashboards
Another aspect of visualizing data analytics is to empower your user with visualizations that go beyond mere animation and allow audiences to get more in-depth or focus on aspects that are of interest to them.
4. Assess Visualizations for Readability
Once the deep work of compiling and making sense of data is done, information visualization does extend to design choices. Data analytics are only as effective as great design: from typography, labels, and the use of white space.
What To Look For When Choosing a Data Analytics Visualization Partner
With so many data viz tools out there, there’s an atmosphere of DIY when it comes to information visualization.
But businesses that have tried these tools know that it takes more than a few clicks to deliver a consistent message or weave a clear story through numbers.
Your chosen data analytics visualization partner should:
- Provide custom solutions — If you’re doing the right things with your data, none of it should be standard. Instead, custom solutions will help ask and respond to specific questions and issues your business is facing.
- Focus on customer service — The right data visualization partner will listen to how a customer frames the problems, their vision for their needs, and explain what they can expect from the solution.
- Has a solid track record — A partner that works on custom data stories, prototypes, and projects will have a strong portfolio of the many ways data can serve business intelligence.
- Knows that data takes time — Data visualizations help you uncover patterns, communicate complex ideas, automate reporting, empower self-service, and improve the quality and speed of decision-making.
- Demonstrates deep expertise in the interconnected nature of data — There’s no dearth of data visualization tools because there’s no dearth of data. Almost anything qualitative or quantifiable can be tracked, compiled, stored, and transferred. But a data analytics visualization partner will be able to cut through data that, while not entirely irrelevant, just doesn’t work towards the one goal of solving your problems and answering your questions.
Why Boost Labs?
Like visual data, the depth and breadth of our expertise are transparent, consistent, and results-oriented. That’s why we think data is so powerful — it doesn’t make you choose between showing and telling.
With Boost Labs data analytics visualization, you can do both.
Through years of experience, we know the most important deliverables for your data visualizations:
Focus on relevant KPIs — There are metrics that matter and vanity metrics. When everything counts, nothing really matters. So Boost Labs gets right to the heart of your data. We pull significant data points that convey key insights and business intelligence you may not have seen before.
Lose nothing to translation — Data takes nothing for granted — and neither do we. Boost Labs provides visualizations that are specific and incisive. Compiling aggregate data sets and working through the granular details are our specialities. At the end of it all, our clients benefit from simpler, more accessible, and clear visualizations.
Receive insightful feedback — Powerful data visualizations also give you clear indications for what needs to change or be refined within your own internal organization and processes. Visualizations by Boost Labs can help you support recommended changes.
When you view our portfolio, you’re likely to see a project that matches your vision or goals, or resonate with a question you’re already asking yourself about the data you’re collecting.
If you’re ready to build something that empowers your audiences and stakeholders, reach out to Boost Labs today.